Sciweavers

CVPR
2005
IEEE
15 years 1 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
CVPR
2005
IEEE
15 years 1 months ago
Multiscale Segmentation by Combining Motion and Intensity Cues
We present a multiscale method for motion segmentation. Our method begins with local, ambiguous optical flow measurements. It uses a process of aggregation to resolve the ambiguit...
Meirav Galun, Alexander Apartsin, Ronen Basri
CVPR
2005
IEEE
15 years 1 months ago
A Projector-Camera System with Real-Time Photometric Adaptation for Dynamic Environments
Projection systems can be used to implement augmented reality, as well as to create both displays and interfaces on ordinary surfaces. Ordinary surfaces have varying reflectance, ...
Kensaku Fujii, Michael D. Grossberg, Shree K. Naya...
CVPR
2005
IEEE
15 years 1 months ago
Hybrid Models for Human Motion Recognition
Probabilistic models have been previously shown to be efficient and effective for modeling and recognition of human motion. In particular we focus on methods which represent the h...
Claudio Fanti, Lihi Zelnik-Manor, Pietro Perona
CVPR
2005
IEEE
15 years 1 months ago
Multiple Collaborative Kernel Tracking
Those motion parameters that cannot be recovered from image measurements are unobservable in the visual dynamic system. This paper studies this important issue of singularity in th...
Zhimin Fan, Ying Wu, Ming Yang
CVPR
2005
IEEE
15 years 1 months ago
Interactive Graph Cut Based Segmentation with Shape Priors
Interactive or semi-automatic segmentation is a useful alternative to pure automatic segmentation in many applications. While automatic segmentation can be very challenging, a sma...
Daniel Freedman, Tao Zhang
CVPR
2005
IEEE
15 years 1 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
CVPR
2005
IEEE
15 years 1 months ago
Illumination-Invariant Tracking via Graph Cuts
Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of ...
Daniel Freedman, Matthew W. Turek
CVPR
2005
IEEE
15 years 1 months ago
Identifying Semantically Equivalent Object Fragments
We describe a novel technique for identifying semantically equivalent parts in images belonging to the same object class, (e.g. eyes, license plates, aircraft wings etc.). The vis...
Boris Epshtein, Shimon Ullman
CVPR
2005
IEEE
15 years 1 months ago
Energy Minimization via Graph Cuts: Settling What is Possible
The recent explosion of interest in graph cut methods in computer vision naturally spawns the question: what energy functions can be minimized via graph cuts? This question was fi...
Daniel Freedman, Petros Drineas